The NC CSC project "Wind River Indian Reservation’s (WRIR) Vulnerability to the Impacts of Drought and the Development of Decision Tools to Support Drought Preparedness" supports tribal resource managers working with university and government partners to co-develop science, decision support tools, and a management plan for drought.

The project team, funded by the NC CSC, worked in two river basins in southwestern Colorado (San Juan and Gunnison) to focus on five objectives: 1) understand social-ecological vulnerabilities, 2) create scenarios and models to facilitate decision making, 3) develop actionable adaptation strategies, 4) identify institutional arrangements needed for adaptation, and 5) document and transfer best practices. The team was interested in the intersection of the climate system, the ecological system, and the social system. Social and natural scientists worked together and with many stakeholders to achieve these objectives.

Abstract (from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174045): Several studies have projected increases in drought severity, extent and duration in many parts of the world under climate change. We examine sources of uncertainty arising from the methodological choices for the assessment of future drought risk in the continental US (CONUS). One such uncertainty is in the climate models’ expression of evaporative demand (E0), which is not a direct climate model output but has been traditionally estimated using several different formulations. Here we analyze daily output from two CMIP5 GCMs to evaluate how differences in E0 formulation, treatment of meteorological driving data, choice of GCM, and standardization of time series influence the estimation of E0. These methodological choices yield different assessments of spatio-temporal variability in E0 and different trends in 21st century drought risk. First, we estimate E0 using three widely used E0 formulations: Penman-Monteith; Hargreaves-Samani; and Priestley-Taylor. Our analysis, which primarily focuses on the May-September warm-season period, shows that E0 climatology and its spatial pattern differ substantially between these three formulations. Overall, we find higher magnitudes of E0 and its interannual variability using Penman-Monteith, in particular for regions like the Great Plains and southwestern US where E0 is strongly influenced by variations in wind and relative humidity. When examining projected changes in E0 during the 21st century, there are also large differences among the three formulations, particularly the Penman-Monteith relative to the other two formulations. The 21st century E0 trends, particularly in percent change and standardized anomalies of E0, are found to be sensitive to the long-term mean value and the amplitude of interannual variability, i.e. if the magnitude of E0 and its interannual variability are relatively low for a particular E0 formulation, then the normalized or standardized 21st century trend based on that formulation is amplified relative to other formulations. This is the case for the use of Hargreaves-Samani and Priestley-Taylor, where future E0 trends are comparatively much larger than for Penman-Monteith. When comparing Penman-Monteith E0 responses between different choices of input variables related to wind speed, surface roughness, and net radiation, we found differences in E0 trends, although these choices had a much smaller influence on E0 trends than did the E0 formulation choices. These methodological choices and specific climate model selection, also have a large influence on the estimation of trends in standardized drought indices used for drought assessment operationally. We find that standardization tends to amplify divergences between the E0 trends calculated using different E0 formulations, because standardization is sensitive to both the climatology and amplitude of interannual variability of E0. For different methodological choices and GCM output considered in estimating E0, we examine potential sources of uncertainty in 21st century trends in the Standardized Precipitation Evapotranspiration Index (SPEI) and Evaporative Demand Drought Index (EDDI) over selected regions of the CONUS to demonstrate the practical implications of these methodological choices for the quantification of drought risk under climate change.

This webinar was recorded as part of the Climate Change Science and Management Webinar Series (hosted in partnership by the USGS National Climate Change and Wildlife Science Center and FWS National Conservation Training Center). Webinar Summary: Accurate information on the atmospheric evaporative demand (i.e., thirst of the atmosphere) and the land-surface evaporative response (i.e., moisture supply on the land to meet the evaporative demand) is extremely important to assessing water stress on the land surface. In this webinar, the presenters will introduce real-time high resolution (1-10km) monitoring products of atmospheric evaporative demand and land-surface evaporative response models that are currently available to users. They will also discuss the physical relationships between these systems, as well as the potential of the monitoring products discussed above to markedly improve scientists and managers understanding of drought processes (i.e., onset, evolution, persistence and dissipation), and develop a more robust drought early warning framework.

We assessed the vulnerability of ecological processes and vegetation to climate change in the US Northern Rocky Mountains with a focus on the Greater Yellowstone Ecosystem. We found that climate has warmed substantially since 1900 while precipitation has increased. An index of aridity decreased until about 1980 and then increased slightly. Projected future climate indicates warming of about 3-7 degrees C by 2100 and a substantial increase in aridity, depending on climate scenario. Snow pack, soil moisture, runoff, and primary productivity are projected to decrease dramatically in summer under future climate scenarios, with snow pack and runoff declining annually. Habitat suitability for the four subalpine tree species is projected to contract dramatically while mid elevation tree species are projected to expand in area of suitable habitat. Across Greater Yellowstone, sagebrush communities are projected to expand and total forest cover is projected to decrease. The most vulnerable tree species are Whitebark pine and Mountain hemlock (found on the west-slope of the Rockies), both of which are projected to have 0-10% of current area of suitable habitat by 2100. These results represent the first comprehensive climate vulnerability assessment for the Northern Rockies and provide critical information for guiding the development and evaluation of climate adaptation strategies. 

Managing plant and wildlife species under climate change offers a substantial challenge. Federal agencies have adapted a framework for considering climate change when implementing management actions. This project was designed to demonstrate how elements of that framework, climate science, ecological forecasting, and natural resource management, can be linked to best maintain natural resources under climate change. The project focused on the whitebark pine (WBP) tree. This species occupies high mountain forests and uniquely provides foods and habitats for other species. WBP populations have undergone massive die-offs over the past decade due to pest outbreaks associated with climate warming. In the Greater Yellowstone Ecosystem (GYE), federal agencies have been working together since 1999 to develop a strategy for restoring the lost WBP forests. This project was designed to provide guidance as to how to place management treatments in the landscape to be most effective under climate change. We analyzed relationships between WBP and climate during the past 15,000 years and forecasted potential response to climate change to the year 2100. In collaboration with federal managers, we used the results to develop a management strategy to maintain a viable population of WBP in the GYE under projected future climates. Simulation modeling experiments revealed that our “climate-informed” strategy is likely to be more effective under future climates than the current federal strategy. Our federal partners are now incorporating knowledge developed in the project into a revised version of the WBP management strategy. Public surveys conducted by the project revealed a high level of public support for such restoration efforts for this climatesensitive keystone tree species. 

The North Central Climate Science Center (NC CSC) funded research activities in order to provide pertinent climate information to natural resource managers in our region to evaluate impacts of climatic changes and to develop strategies to respond to changes affecting their natural and cultural resources.  These funded activities provided improved climate data sets, such as the high resolution temperature dataset, derived data from the latest international climate projections. The NC CSC used this information and additional climate information to evaluate and assess impacts on ecosystem and natural resources. This information was generated in partnership with National Park Service managers, Native American leaders, and groups working with various non-governmental organizations, such as The Nature Conservancy. In addition, information on climate changes and impacts were incorporated into regional assessment efforts for the 3rd US National Climate Assessment (NCA) and for the Colorado Vulnerability Study. Adaptation research efforts and development of strategies with various natural resource managers from federal (especially our Landscape Conservation Cooperative groups associated with our region), state, and Native American communities were carried out. NC CSC staff used surveys and interviews to gain insights in how various climate changes, especially those related to drought conditions, have been affecting their management practices. This information was important in guiding further research with our management communities related to what climate information would be useful, what impacts are being observed or of concern to these management entities, and what pathways are open to meet challenges related to climatic changes.

Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, estimate how wildlife species of concern are expected to respond to these changes, develop climate-smart strategies to help stakeholders manage public and private lands in ways that allow wildlife to continue to move in response to changing conditions, and explore how well existing management plans and conservation efforts are expected to support crucial connections for wildlife under climate change. We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). We offer suggestions for improving the management relevance of future studies based on our own insights and those of managers and biologists who participated in this assessment and provided critical review of this report. 

This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in southwest South Dakota. It was co-designed with resource management partners to support scenario planning for climate change adaptation. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. The model represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). See Miller et al. (2017) for further details. The model was built using the ST-Sim software platform (www.apexrms.com/stsm). ST-Sim allows users to develop and run spatially-explicit, stochastic state-and-transition simulation models (STSMs) of vegetation change, and is designed to simulate and compare possible vegetation conditions across a landscape over time by considering the interaction between succession, disturbances and management. ST-Sim is the latest in a 20-year lineage of STSM development tools that includes the Vegetation Dynamics Development Tool (VDDT), the Tool for Exploratory Landscape Scenario Analysis (TELSA), and the Path Landscape Model (Path). ST-Sim is intended as an upgrade to Path: in addition to all of the previous Path features, ST-Sim also provides a new option to run raster-based, spatially-explicit simulations.

The viability of the whitebark pine (Pinus albicaulis) species is under threat due to precipitously declining populations.  This study investigates the sources of differing levels of concern about climate-driven effects on whitebark pine trees.  It also investigates support for different Whitebark Pine (WBP) management strategies on federal public lands.